quinn VS leapp

We're brainstorming functions to make PySpark easier, see this issue: https://github.com/MrPowers/quinn/issues/83

Adding some README documentation to the README should be quite straightforward. Here's a function that needs to be documented: https://github.com/MrPowers/quinn/issues/52 .

quinn is a library with PySpark helper functions. I need to work through all the open issues / PRs and bump all versions. I should do another release. This library gets around 600,000 monthly downloads.

Pandas syntax is far inferior to regular PySpark in my opinion. Goes to show how much data analysts value a syntax that they're already familiar with. Pandas syntax makes it harder to reason about queries, abstract DataFrame transformations, etc. I've authored some popular PySpark libraries like quinn and chispa and am not excited to add Pandas syntax support, haha.

Here's how I added a create_df method to the SparkSession class: https://github.com/MrPowers/quinn/blob/main/quinn/extensions/spark_session_ext.py

They spent a lot of effort improving the catalyst engine under the hood too and making it easier to extend and improve it in the future. Making it easy to add your own native code to Spark itself. Shameless plug of a blog post I wrote on this subject which basically reiterates what Matthew Powers, author of Spark Daria and quinn, wrote here.

I built daria (https://github.com/MrPowers/spark-daria) to make it easier to write Spark and spark-fast-tests (https://github.com/MrPowers/spark-fast-tests) to provide a good testing workflow.

quinn (https://github.com/MrPowers/quinn) and chispa (https://github.com/MrPowers/chispa) are the PySpark equivalents.

Built bebe (https://github.com/MrPowers/bebe) to expose the Spark Catalyst expressions that aren't exposed to the Scala / Python APIs.

Also build spark-sbt.g8 to create a Spark project with a single command: https://github.com/MrPowers/spark-sbt.g8

I've built popular PySpark (quinn, chispa) and Scala Spark (spark-daria, spark-fast-tests) libraries.

Summary:

Do you find yourself overwhelmed with work, requests, or complaints and in need of assistance to alleviate the pressure, enhance communication, facilitate organization, prioritize tasks, and foster greater trust and transparency?

Alternatively, I can work as a full stack developer.

AWS Community builder, AWS User group Leader, public speaker (https://www.youtube.com/watch?v=qdu58NAQfU0&t=271s)

Or perhaps you need both? =)

I have 4+ years of experience as a product manager and 8 in product development (before pm: agile coach, UX designer, and developer).

I've been the co-founder of the open-core company behind the OSS project Leapp (https://github.com/Noovolari/leapp)

Please feel free to reach out.

You can switch to saml2aws using the browser method instead of the Okta method and it will continue to work after the upgrade. There is also a really neat GUI tool to manage your session tokens that also works. https://www.leapp.cloud

Take a try to Leapp: https://github.com/Noovolari/leapp

Hello everyone, I'm the maintainer of an open-source DeveloperTool (https://github.com/Noovolari/leapp)

With a heuristic of 7000 users daily, I started feeling the need to have more information on how Users are using the project to improve it.

Is it the right thing to do to create a better Developer Experience and gain feedback for the end users?

On a side:

- For all your employees I can advice you Leapp as open-source project (https://github.com/Noovolari/leapp). It solve mayor of the problem listed here:

I am looking to manage Leapp (https://www.leapp.cloud/) from the StreamDeck. Leapp allows you to manage and switch between different Cloud Accounts (AWS, Azure, etc). Leapp has a command line interface which I could automate with a StreamDeck plugin. Unfortunately it looks like the only official SDK is the sandboxed JavaScript one. This means I cannot automate command line tools with it.

If you’re wondering if there is a tool that allows you to stop thinking about AWS credentials and where to store them in the right way, give a look at Leapp! It takes the responsibility of storing long-term credentials in the system vault, generating/refreshing short-term credentials, and placing them in the right place for the clients to use them.

Still, there is an elementary problem that we need to address, and it’s more on the operational side of things. Once we secured and implemented a tremendous multi-account strategy, how do people access AWS accounts? It turns out there is a fantastic open-source tool that lets you handle that with no effort, and its name is Leapp.

When you have to configure access to multiple AWS accounts using the Assume Role access pattern, it becomes difficult to get rid of all the Named Profiles configuration data and relationships. When you’ve to deal with a complex access scenario, tools like Leapp (https://www.leapp.cloud) come to the rescue! Leapp avoids you to specify relationships between Named Profiles in the config file, as the access methods are stored in the tool-specific configuration file.

Leapp Github repository